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Statistical Methods for Environmental Epidemiology with R

A Case Study in Air Pollution and Health
Buch | Softcover
144 Seiten
2008
Springer-Verlag New York Inc.
978-0-387-78166-2 (ISBN)

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Statistical Methods for Environmental Epidemiology with R - Roger D. Peng, Francesca Dominici
CHF 119,80 inkl. MwSt
As an area of statistical application, environmental epidemiology and more speci cally, the estimation of health risk associated with the exposure to - vironmental agents, has led to the development of several statistical methods and software that can then be applied to other scienti c areas. The stat- tical analyses aimed at addressing questions in environmental epidemiology have the following characteristics. Often the signal-to-noise ratio in the data is low and the targets of inference are inherently small risks. These constraints typically lead to the development and use of more sophisticated (and pot- tially less transparent) statistical models and the integration of large hi- dimensional databases. New technologies and the widespread availability of powerful computing are also adding to the complexities of scienti c inves- gation by allowing researchers to t large numbers of models and search over many sets of variables. As the number of variables measured increases, so do the degrees of freedom for in uencing the association between a risk factor and an outcome of interest. We have written this book, in part, to describe our experiences developing and applying statistical methods for the estimation for air pollution health e ects. Our experience has convinced us that the application of modern s- tistical methodology in a reproducible manner can bring to bear subst- tial bene ts to policy-makers and scientists in this area. We believe that the methods described in this book are applicable to other areas of environmental epidemiology, particularly those areas involving spatial{temporal exposures.

Studies of Air Pollution and Health.- to R and Air Pollution and Health Data.- Reproducible Research Tools.- Statistical Issues in Estimating the Health Effects of Spatial–Temporal Environmental Exposures..- Exploratory Data Analyses.- Statistical Models.- Pooling Risks Across Locations and Quantifying Spatial Heterogeneity.- A Reproducible Seasonal Analysis of Particulate Matter and Mortality in the United States.

Reihe/Serie Use R!
Zusatzinfo X, 144 p.
Verlagsort New York, NY
Sprache englisch
Maße 155 x 235 mm
Themenwelt Mathematik / Informatik Mathematik Statistik
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Studium Querschnittsbereiche Epidemiologie / Med. Biometrie
Naturwissenschaften Biologie Ökologie / Naturschutz
ISBN-10 0-387-78166-8 / 0387781668
ISBN-13 978-0-387-78166-2 / 9780387781662
Zustand Neuware
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